Machine Learning

As one of the most comprehensive machine learning texts around, this book does justice to the field s incredible richness, but without losing sight of the unifying principles Peter Flach s clear, example based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss Flach provides case studies of increasing complexity and variety with well chosen examples and illustrations throughout He covers a wide range of logical, geometric and statistical models and state of the art topics such as matrix factorisation and ROC analysis Particular attention is paid to the central role played by features The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary These features ensure Machine Learning will set a new standard as an introductory textbook. Best Download Machine Learning [ Author ] Peter Flach [ Kindle ePUB or eBook ] – kino-fada.fr I learned a lot even though it was a bit boring PInterestingly, most books are a mathematical treatment of Machine learning This isof a contextual reading with the math baked in As such is less a mountain of proofs andcontext that then shows the equation that matches this The earlier chapters likely better if you do not have the Probability, Stats and regression classes The later chapters might bechallenging for the math impaired That said, relative to a pure mathematical treatment, it s significantly easier to place the Interestingly, most books are a mathematical treatment of Machine ...There arepractical re introductions to the field of machine learning but the thing that s great about this one is that it goes very deep on the math, which you really need to do if you re going to even think about doing something original in this sp...

• 12 May 2018
Peter Flach
• ebook
• 409 pages
• 1139575414
• Peter Flach
• Machine Learning